Robust, Cost-Optimal and Compliant Engine and Aftertreatment Operation using Air-path Control and Tailpipe Emission Feedback

Ramachandran, Satish Narayanan; Hommen, G Gillis; Mentink, Paul; Seykens, Xander; Willems, Frank; Kupper, Frank

doi:10.4271/2016-01-0961

Cited by 7 publications

(4 citation statements)

References 3 publications

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“…In other works [11][12][13][14], the benefit of heating the ATS is approximated offline. This approximation is then used by the supervisory controller when determining the optimal engine operation online.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In [11], a feedforward controller based on Pontryagin's minimum principle was implemented, whereby a heuristic method was used to determine the equivalence factor for the ATS heating. In [12], this controller was extended to include feedback control based on the measured tailpipe NO x emissions. In [13], dynamic programming was used to determine the optimal operation for several missions offline.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Model Predictive Supervisory Control for Integrated Emission Management of Diesel Engines

Ritzmann

Peterhans²,

Chinellato³

et al. 2022

Energies

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In this work, a predictive supervisory controller is presented that optimizes the interaction between a diesel engine and its aftertreatment system (ATS). The fuel consumption is minimized while respecting an upper bound on the emitted tailpipe NOx mass. This is achieved by optimally balancing the fuel consumption, the engine-out NOx emissions, and the ATS heating. The proposed predictive supervisory controller employs a two-layer model predictive control structure and solves the optimal control problem using a direct method. Through experimental validation, the resulting controller was shown to reduce the fuel consumption by 1.1% at equivalent tailpipe NOx emissions for the nonroad transient cycle when compared to the operation with a fixed engine calibration. Further, the controller’s robustness to different missions, initial ATS temperatures, NOx limits, and mispredictions was demonstrated.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Model Predictive Supervisory Control for Integrated Emission Management of Diesel Engines

Ritzmann

Peterhans²,

Chinellato³

et al. 2022

Energies

View full text Add to dashboard Cite

show abstract

“…In order to achieve low fuel consumption (or, equivalently, low CO 2 emissions) and low pollutant emissions, the actuators of a Diesel engine and its exhaust-gas aftertreatment system (ATS) have to be optimised and accurately controlled. A common approach to optimise the operation of the overall system is to use a so-called supervisory control strategy (Cloudt & Willems, 2011; van Dooren, Amstutz, & Onder, 2022;Ramachandran et al, 2016). Such a strategy is based on optimal control theory (Geering, 2007) and aims to exploit the synergy between engine and ATS.…”

Section: Introductionmentioning

confidence: 99%

“…A second group of publications, e.g., Jeong et al (2019), Mentink, van den Nieuwenhof, Kupper, Willems, and Kooijman (2015), Ramachandran et al (2016), Wasserburger, Hametner, and Didcock (2019), does evaluate the emissions of each time window of the MAW method, but only after designing and testing a robust (and therefore conservative) control strategy, the tuning of which is typically based on statistical methods. Although these strategies fulfil the requirements of the RDE legislation, it is unknown whether, and even unlikely that, they achieve minimum fuel consumption.…”

Section: Introductionmentioning

confidence: 99%